Ai Elements logo

Ai Elements

Community
laguagu
ai-elements

Build AI chat interfaces with pre-built shadcn-style components (Message, Conversation, PromptInput, Reasoning, Sources, Tool, Artifact, CodeBlock, Suggestion, Task, Image, ChainOfThought, InlineCitation, WebPreview, Checkpoint, Plan, Queue, ModelSelector, and more). Use when adding AI chat UI to a Next.js + AI SDK app, installing AI Elements components via the CLI (`bun x ai-elements@latest add message` or `npx shadcn@latest add @ai-elements/message`), composing message displays with markdown, building prompt inputs with attachments, or rendering streaming reasoning and tool output.

Overview

Publisherlaguagu
Repositoryclaude-code-nextjs-skills
Skill nameai-elements
Stars
64
Forks
18
Bundled files
133
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 133 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by laguagu on GitHub. Read the source before you install it.

Installation

Install the Ai Elements AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/laguagu/claude-code-nextjs-skills.git /tmp/claude-code-nextjs-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-nextjs-skills/skills/ai-elements .claude/skills/ai-elements
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Elements in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ai Elements on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ai Elements is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AI Elements

AI Elements is a component library and custom registry built on top of shadcn/ui to help you build AI-native applications faster. It provides pre-built components like conversations, messages and more.

Components are copied into the project as source, so they are owned and editable — not a black-box dependency.

Prerequisites

Installing Components

Install AI Elements components using either the dedicated AI Elements CLI or the shadcn/ui CLI. Both achieve the same result: adding the selected component's code and any needed dependencies to the project.

AI Elements CLI

bash
# npm
npx ai-elements@latest add message
# pnpm
pnpm dlx ai-elements@latest add message
# yarn
yarn dlx ai-elements@latest add message
# bun
bun x ai-elements@latest add message

shadcn CLI

bash
# npm
npx shadcn@latest add @ai-elements/message
# pnpm
pnpm dlx shadcn@latest add @ai-elements/message
# yarn
yarn dlx shadcn@latest add @ai-elements/message
# bun
bun x shadcn@latest add @ai-elements/message

The CLI downloads the component's code and integrates it into the project's directory. By default, AI Elements components are added to @/components/ai-elements/ (or whatever folder is configured in components.json). After running the command, the terminal confirms which files were added — proceed to import and use the component in code.

Example

Import and compose them like any other local React component:

tsx
"use client";

import {
  Message,
  MessageContent,
  MessageResponse,
} from "@/components/ai-elements/message";
import { useChat } from "@ai-sdk/react";

const Example = () => {
  const { messages } = useChat();

  return (
    <>
      {messages.map(({ role, parts }, index) => (
        <Message from={role} key={index}>
          <MessageContent>
            {parts.map((part, i) => {
              switch (part.type) {
                case "text":
                  return (
                    <MessageResponse key={`${role}-${i}`}>
                      {part.text}
                    </MessageResponse>
                  );
              }
            })}
          </MessageContent>
        </Message>
      ))}
    </>
  );
};

export default Example;

The example above imports the Message component from the AI Elements directory and composes it with the MessageContent and MessageResponse subcomponents. Style or configure the component just as you would any local component — since the code lives in your project, the component file can be opened directly for inspection or custom modifications.

Extensibility

All AI Elements components take as many primitive attributes as possible. For example, the Message component extends HTMLAttributes<HTMLDivElement>, so you can pass any props that a div supports. This makes it easy to extend the component with your own styles or functionality.

Customization

No post-install setup is needed — the Tailwind classes and scripts ship with the component. Edit the file directly to change it. For example, to remove the rounding on Message, drop rounded-lg from components/ai-elements/message.tsx:

tsx
export const MessageContent = ({
  children,
  className,
  ...props
}: MessageContentProps) => (
  <div
    className={cn(
      "flex flex-col gap-2 text-sm text-foreground",
      "group-[.is-user]:bg-primary group-[.is-user]:text-primary-foreground group-[.is-user]:px-4 group-[.is-user]:py-3",
      className
    )}
    {...props}
  >
    <div className="is-user:dark">{children}</div>
  </div>
);

Troubleshooting

Components render unstyled

The project is missing the shadcn/ui base layer. Tailwind 4 is CSS-first — there is no tailwind.config.js; globals.css must @import "tailwindcss" and define the shadcn theme tokens in an @theme inline block.

The CLI ran but nothing was added

Run it from the directory holding package.json, and pass both @latest and a component name — a bare ai-elements@latest with no subcommand does not add a single component.

Theme switching stays in light mode

shadcn/ui toggles class="dark" (or a data-theme attribute) on <html>. In Tailwind 4 the matching selector is declared in CSS with @custom-variant dark, not in a config file. Confirm the toggle actually mutates <html> before suspecting the components.

Imports fail with "module not found"

Check the file exists, then check the @/ path alias in tsconfig.json:

json
{
  "compilerOptions": {
    "baseUrl": ".",
    "paths": {
      "@/*": ["./*"]
    }
  }
}

Match the alias to whatever components.json declares — it is not always @/.

Anything else: open an issue.

Available Components

See the references/ folder for detailed documentation on each component.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 73 more files.

Frequently asked questions

What does the Ai Elements AI skill do?

Build AI chat interfaces with pre-built shadcn-style components (Message, Conversation, PromptInput, Reasoning, Sources, Tool, Artifact, CodeBlock, Suggestion, Task, Image, ChainOfThought, InlineCitation, WebPreview, Checkpoint, Plan, Queue, ModelSelector, and more). Use when adding AI chat UI to a Next.js + AI SDK app, installing AI Elements components via the CLI (`bun x ai-elements@latest add message` or `npx shadcn@latest add @ai-elements/message`), composing message displays with markdown, building prompt inputs with attachments, or rendering streaming reasoning and tool output.

Why use Ai Elements on TypingMind?

Because you install it once and use it with any model. Ai Elements is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ai Elements in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/laguagu/claude-code-nextjs-skills/tree/main/skills/ai-elements. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ai Elements?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ai Elements?

As many as you like. As long as a model supports skills, you can use Ai Elements with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ai Elements AI skill free?

Yes. It is published on GitHub by laguagu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇